Pith Number
pith:UHQGWKMN
pith:2015:UHQGWKMN3LLOSO4Z5GZYGRK4HY
not attested
not anchored
not stored
refs pending
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition
arxiv:1504.03871 v3 · 2015-04-15 · cs.CV · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UHQGWKMN3LLOSO4Z5GZYGRK4HY}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:50:57.858251Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1e06b298ddad6e93b99e9b383455c3e13fb251091377acda51ff4b6ee0445a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UHQGWKMN3LLOSO4Z5GZYGRK4HY \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a1e06b298ddad6e93b99e9b383455c3e13fb251091377acda51ff4b6ee0445a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd2bb2359266d4b055d5a91f050e71c77471cdd619ccf43e606b637e3a95587a",
"cross_cats_sorted": [
"q-bio.NC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-04-15T11:47:21Z",
"title_canon_sha256": "ed4110d65f88772b971c74d39f259ce373c368dc89772b88f30fa84143c69338"
},
"schema_version": "1.0",
"source": {
"id": "1504.03871",
"kind": "arxiv",
"version": 3
}
}